Giacomo Zamponi

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We present a recurrent neural network which learns to suggest the next move during the descent along the branches of a decision tree. More precisely, given a decision instance represented by a node in the decision tree, the network provides the degree of membership of each possible move to the fuzzy set «good move». These fuzzy values constitute the core of(More)
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